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Statistics for Marketing and Consumer Research

2008-05-22 Business & Economics
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Release : 2008-05-22
Genre : Business & Economics
Kind : eBook
Book Rating : 014/5 ( reviews)

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Book Synopsis Statistics for Marketing and Consumer Research by : Mario Mazzocchi

Download or read book Statistics for Marketing and Consumer Research written by Mario Mazzocchi. This book was released on 2008-05-22. Available in PDF, EPUB and Kindle. Book excerpt: Balancing simplicity with technical rigour, this practical guide to the statistical techniques essential to research in marketing and related fields, describes each method as well as showing how they are applied. The book is accompanied by two real data sets to replicate examples and with exercises to solve, as well as detailed guidance on the use of appropriate software including: - 750 powerpoint slides with lecture notes and step-by-step guides to run analyses in SPSS (also includes screenshots) - 136 multiple choice questions for tests This is augmented by in-depth discussion of topics including: - Sampling - Data management and statistical packages - Hypothesis testing - Cluster analysis - Structural equation modelling

Market Research and Statistics

2010 Informationssøgning
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Release : 2010
Genre : Informationssøgning
Kind : eBook
Book Rating : 694/5 ( reviews)

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Book Synopsis Market Research and Statistics by : Poul K. Faarup

Download or read book Market Research and Statistics written by Poul K. Faarup. This book was released on 2010. Available in PDF, EPUB and Kindle. Book excerpt:

Market Research

2017-11-01 Business & Economics
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Release : 2017-11-01
Genre : Business & Economics
Kind : eBook
Book Rating : 182/5 ( reviews)

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Book Synopsis Market Research by : Erik Mooi

Download or read book Market Research written by Erik Mooi. This book was released on 2017-11-01. Available in PDF, EPUB and Kindle. Book excerpt: This book is an easily accessible and comprehensive guide which helps make sound statistical decisions, perform analyses, and interpret the results quickly using Stata. It includes advanced coverage of ANOVA, factor, and cluster analyses in Stata, as well as essential regression and descriptive statistics. It is aimed at those wishing to know more about the process, data management, and most commonly used methods in market research using Stata. The book offers readers an overview of the entire market research process from asking market research questions to collecting and analyzing data by means of quantitative methods. It is engaging, hands-on, and includes many practical examples, tips, and suggestions that help readers apply and interpret quantitative methods, such as regression, factor, and cluster analysis. These methods help researchers provide companies with useful insights.

A Concise Guide to Market Research

2014-08-07 Business & Economics
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Release : 2014-08-07
Genre : Business & Economics
Kind : eBook
Book Rating : 640/5 ( reviews)

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Book Synopsis A Concise Guide to Market Research by : Marko Sarstedt

Download or read book A Concise Guide to Market Research written by Marko Sarstedt. This book was released on 2014-08-07. Available in PDF, EPUB and Kindle. Book excerpt: This accessible, practice-oriented and compact text provides a hands-on introduction to market research. Using the market research process as a framework, it explains how to collect and describe data and presents the most important and frequently used quantitative analysis techniques, such as ANOVA, regression analysis, factor analysis and cluster analysis. The book describes the theoretical choices a market researcher has to make with regard to each technique, discusses how these are converted into actions in IBM SPSS version 22 and how to interpret the output. Each chapter concludes with a case study that illustrates the process using real-world data. A comprehensive Web appendix includes additional analysis techniques, datasets, video files and case studies. Tags in the text allow readers to quickly access Web content with their mobile device. The new edition features: Stronger emphasis on the gathering and analysis of secondary data (e.g., internet and social networking data) New material on data description (e.g., outlier detection and missing value analysis) Improved use of educational elements such as learning objectives, keywords, self-assessment tests, case studies, and much more Streamlined and simplified coverage of the data analysis techniques with more rules-of-thumb Uses IBM SPSS version 22

R for Marketing Research and Analytics

2015-03-25 Business & Economics
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Release : 2015-03-25
Genre : Business & Economics
Kind : eBook
Book Rating : 351/5 ( reviews)

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Book Synopsis R for Marketing Research and Analytics by : Chris Chapman

Download or read book R for Marketing Research and Analytics written by Chris Chapman. This book was released on 2015-03-25. Available in PDF, EPUB and Kindle. Book excerpt: This book is a complete introduction to the power of R for marketing research practitioners. The text describes statistical models from a conceptual point of view with a minimal amount of mathematics, presuming only an introductory knowledge of statistics. Hands-on chapters accelerate the learning curve by asking readers to interact with R from the beginning. Core topics include the R language, basic statistics, linear modeling, and data visualization, which is presented throughout as an integral part of analysis. Later chapters cover more advanced topics yet are intended to be approachable for all analysts. These sections examine logistic regression, customer segmentation, hierarchical linear modeling, market basket analysis, structural equation modeling, and conjoint analysis in R. The text uniquely presents Bayesian models with a minimally complex approach, demonstrating and explaining Bayesian methods alongside traditional analyses for analysis of variance, linear models, and metric and choice-based conjoint analysis. With its emphasis on data visualization, model assessment, and development of statistical intuition, this book provides guidance for any analyst looking to develop or improve skills in R for marketing applications.

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